Evidence map›Paper›PMID 41360779›Full record

ArticleNature communications2025

Hadamard based single-pixel microscopy using sensor-less adaptive optics supported by multi-actuator adaptive lens.

Heberley Tobón-Maya, Lindsey Willstatter, Samuel I Zapata-Valencia, Stefano Bonora, Enrique Tajahuerce, Jesús Lancis

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Heberley Tobón-Maya *Institute of New Imaging Technologies (INIT), Universitat Jaume I, E12071, Castelló, Spain. tobon@uji.es.ORCID http://orcid.org/0000-0002-3258-1861
Lindsey Willstatter *CNR-Institute of Photonics and Nanotechnology, via Trasea 7, 35131, Padova, Italy.ORCID http://orcid.org/0009-0002-3229-1976
Samuel I Zapata-ValenciaInstitute of New Imaging Technologies (INIT), Universitat Jaume I, E12071, Castelló, Spain.ORCID http://orcid.org/0000-0002-0924-3776
Stefano BonoraCNR-Institute of Photonics and Nanotechnology, via Trasea 7, 35131, Padova, Italy.ORCID http://orcid.org/0000-0002-5049-7049
Enrique TajahuerceInstitute of New Imaging Technologies (INIT), Universitat Jaume I, E12071, Castelló, Spain.ORCID http://orcid.org/0000-0003-1655-4393
Jesús LancisInstitute of New Imaging Technologies (INIT), Universitat Jaume I, E12071, Castelló, Spain.ORCID http://orcid.org/0000-0002-7336-6930

Funding

European Commission (EC) GA 101072354
6 · The paper itself

Abstract

Single-pixel microscopy is a computational imaging approach that produce images with a bucket detector by illuminating the sample with a sequence of micro-structured light patterns. In particular, Hadamard-based single-pixel microscopy (HSPM) is a leading implementation that uses Hadamard-basis patterns typically encoded on a digital-micromirror-device (DMD). Ultimate image quality and resolution depend on accurate demagnification of the patterns onto the sample, often requiring subwavelength projection resolution. However, aberrations introduced by DMDs, which are designed for consumer displays, together with sample scattering, constrain the HSPM maximum achievable performance under practical imaging conditions. In this work, the aberrations effects on HSPM are addressed, both theoretically and experimentally, thereby enabling HSPM near-diffraction-limited operation. The use of a multi-actuator adaptive lens to correct the aberrations effect on the projected patterns in HSPM is reported. A sensor-less method is developed to achieve aberration-free HSPM, leveraging direct frequency information from the sample Hadamard spectrum in a reconstruction-free approach. The proposed method is validated by correcting not only optical system but also sample's induced aberrations, achieving near-diffraction-limit resolution. Consolidating the presented work as a framework that could play a major role in the development of single-pixel microscopy.

Identifiers

PMID41360779
PMCPMC12686466

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.